Fault diagnosis is a key task for developing safer control systems, especially in chemical plants. Nonetheless, acquiring good labeled fault data involves sampling from dangerous system conditions. A possible workaround to this limitation use simulation training data-driven systems. However, due modelling errors or unknown factors, may differ distribution real-world data. This setting known as ...